| Cross-stitch Networks for Multi-task Learning I Misra, A Shrivastava, A Gupta, M Hebert Computer Vision Pattern Recognition (CVPR), 2016 | 650 | 2016 |
| Shuffle and Learn: Unsupervised Learning using Temporal Order Verification I Misra, CL Zitnick, M Hebert European Conference on Computer Vision (ECCV), 2016 | 501 | 2016 |
| Self-supervised learning of pretext-invariant representations I Misra, L Maaten Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 313 | 2020 |
| Unsupervised Learning of Visual Features by Contrasting Cluster Assignments M Caron, I Misra, J Mairal, P Goyal, P Bojanowski, A Joulin arXiv preprint arXiv:2006.09882, 2020 | 267 | 2020 |
| Cut, Paste and Learn: Surprisingly Easy Synthesis for Instance Detection D Dwibedi, I Misra, M Hebert ICCV, 2017 | 254 | 2017 |
| Visual Storytelling THK Huang, F Ferraro, N Mostafazadeh, I Misra, A Agrawal, J Devlin, ... NAACL, 2016 | 242 | 2016 |
| Generating Natural Questions About an Image N Mostafazadeh, I Misra, J Devlin, M Mitchell, X He, L Vanderwende arXiv preprint arXiv:1603.06059, 2016 | 207 | 2016 |
| Scaling and benchmarking self-supervised visual representation learning P Goyal, D Mahajan, A Gupta, I Misra Proceedings of the IEEE International Conference on Computer Vision, 6391-6400, 2019 | 150 | 2019 |
| Seeing through the Human Reporting Bias: Visual Classifiers from Noisy Human-Centric Labels I Misra, CL Zitnick, M Mitchell, R Girshick Computer Vision Pattern Recognition (CVPR), 2016 | 136 | 2016 |
| Watch and Learn: Semi-Supervised Learning for Object Detectors From Video I Misra, A Shrivastava, M Hebert Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 120 | 2015 |
| From red wine to red tomato: Composition with context I Misra, A Gupta, M Hebert Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 93 | 2017 |
| Does Object Recognition Work for Everyone? T de Vries, I Misra, C Wang, L van der Maaten Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 56 | 2019 |
| In Defense of Grid Features for Visual Question Answering H Jiang, I Misra, M Rohrbach, E Learned-Miller, X Chen Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 50 | 2020 |
| Learning by asking questions I Misra, R Girshick, R Fergus, M Hebert, A Gupta, L Van Der Maaten Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 47 | 2018 |
| Mainstream: Dynamic stem-sharing for multi-tenant video processing AH Jiang, DLK Wong, C Canel, L Tang, I Misra, M Kaminsky, MA Kozuch, ... 2018 {USENIX} Annual Technical Conference ({USENIX}{ATC} 18), 29-42, 2018 | 45 | 2018 |
| Unsupervised learning using sequential verification for action recognition I Misra, CL Zitnick, M Hebert CoRR, abs/1603.08561, 2016 | 45 | 2016 |
| Audio-Visual Instance Discrimination with Cross-Modal Agreement P Morgado, N Vasconcelos, I Misra arXiv preprint arXiv:2004.12943, 2020 | 36 | 2020 |
| ClusterFit: Improving Generalization of Visual Representations X Yan, I Misra, A Gupta, D Ghadiyaram, D Mahajan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 35 | 2020 |
| Emerging Properties in Self-Supervised Vision Transformers M Caron, H Touvron, I Misra, H Jégou, J Mairal, P Bojanowski, A Joulin arXiv preprint arXiv:2104.14294, 2021 | 31 | 2021 |
| Barlow Twins: Self-Supervised Learning via Redundancy Reduction J Zbontar, L Jing, I Misra, Y LeCun, S Deny arXiv preprint arXiv:2103.03230, 2021 | 30 | 2021 |
martial hebertCMUBestätigte E-Mail-Adresse bei ri.cmu.edu
